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Toward IoT device fingerprinting from proprietary protocol traffic via key-blocks aware approach.

, , , , and . Comput. Secur., (2023)

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A Hybrid Monitoring Mechanism in Virtualized Environments., , , , and . Trustcom/BigDataSE/ISPA, page 1038-1045. IEEE, (2016)Mobile Application Identification Over HTTPS Traffic Based on Multi-view Features., , , , and . ICT, page 73-79. IEEE, (2019)ProDigger: Towards Robust Automatic Network Protocol Fingerprint Learning via Byte Embedding., , , and . Trustcom/BigDataSE/ISPA, page 284-291. IEEE, (2016)Let model keep evolving: Incremental learning for encrypted traffic classification., , , , , , and . Comput. Secur., (February 2024)Fingerprinting Protocol at Bit-Level Granularity: A Graph-Based Approach Using Cell Embedding., and . ICPADS, page 266-275. IEEE Computer Society, (2017)Toward IoT device fingerprinting from proprietary protocol traffic via key-blocks aware approach., , , , and . Comput. Secur., (2023)TCCN: A Network Traffic Classification and Detection Model Based on Capsule Network., , , , , and . ICC, page 2319-2324. IEEE, (2023)Toward Automatic Mobile Application Fingerprint Extraction from Non-encrypted HTTP Traffic., , , , , and . ISPA/BDCloud/SocialCom/SustainCom, page 353-362. IEEE, (2020)An Adaptive Ensembled Neural Network-Based Approach to IoT Device Identification., , , , , and . CollaborateCom (2), volume 461 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 214-230. Springer, (2022)Listen to Minority: Encrypted Traffic Classification for Class Imbalance with Contrastive Pre-Training., , , , , , and . SECON, page 447-455. IEEE, (2023)